Reserchers

OKU Makito Specially Appointed Associated Professor

OKU Makito

AffiliationLaboratory of Chemo-bioinformatics, Division of Presymptomatic Disease, Department of Research and Development

Research fieldsbioinformatics, mathematics

Campus careerPh.D. (Information Science and Technology)

Biography Academic Research Staff

Education

2005/03 Bachelor of Engineering, The University of Tokyo
2008/09 Master of Information Science and Technology, The University of Tokyo
2011/09 Ph.D. in Information Science and Technology, The University of Tokyo

Job career

2011/10-2012/03 JSPS Research Fellow (PD), Institute of Industrial Science, The University of Tokyo
2012/04-2012/10 Project Research Associate, Institute of Industrial Science, The University of Tokyo
2012/11-2017/09 Research Associate, Institute of Industrial Science, The University of Tokyo
2017/10- Specially Appointed Associate Professor, Institute of Natural Medicine, University of Toyama

Research theme

Department

Division

Section

Project

Outline of the research

I am studying the following research topics associated with natural medicines by using bioinformatics and mathematical approaches.
1. gene expression data analysis focusing on fluctuations (M. Oku, TBIO, 2019; K. Koizumi, et al., Sci. Rep., 2019)
2. network analysis of kampo formulas (M. Oku, Trad. Kampo Med., 2019)

Thoughts on research

I wish to do what I can do one by one in the field of natural medicines.

Paper

M. Oku: Two novel methods for extracting synchronously fluctuated genes, TBIO, 12:9-16 (2019). https://doi.org/10.2197/ipsjtbio.12.9

K. Koizumi, M. Oku, S. Hayashi, A. Inujima, N. Shibahara, L. Chen, Y. Igarashi, K. Tobe, S. Saito, M. Kadowaki, and K. Aihara: Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers, Sci. Rep., 9:8767 (2019). https://doi.org/10.1038/s41598-019-45119-w

M. Oku: Network analysis of kampo formulas based on crude drug composition and indications, Trad. Kampo Med. (2019). https://doi.org/10.1002/tkm2.1229

keyword

bioinformatics, mathematics, database, gene expression data analysis